内容简介

Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. You’ll learn directly from the creator of Keras, François Chollet, building your understanding through intuitive explanations and practical examples. Updated from the original bestseller with over 50% new content, this second edition includes new chapters, cutting-edge innovations, and coverage of the very latest deep learning tools. You'll explore challenging concepts and practice with applications in computer vision, natural-language processing, and generative models. By the time you finish, you'll have the knowledge and hands-on skills to apply deep learning in your own projects.

what's inside

Deep learning from first principles

Image-classification, imagine segmentation, and object detection

Deep learning for natural language processing

Timeseries forecasting

Neural style transfer, text generation, and image generation


François Chollet works on deep learning at Google in Mountain View, CA. He is the creator of the Keras deep-learning library, as well as a contributor to the TensorFlow machine-learning framework. He also does AI research, with a focus on abstraction and reasoning. His papers have been published at major conferences in the field, including the Conference on Computer Vision and ...

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豆瓣评论

  • 看多就懂了
    绝对好书,看了那么多深度学习的书籍,没见过这么通俗易懂,特别是 对 tensor 和 compute graph的解释,是所有书籍中最好的,看这本书能节省 海量的人生。。2023-08-05
  • yar2001
    非常优秀的入门书!这本书对时间序列、NLP、计算机视觉、图像生成都做了充分而细致的介绍,紧跟前沿。同时揭示了深度网络的本质——找到高维数据空间的低维流体,并解释了基于几何变换和差分的深度网络的局限性。本书还对人工智能的未来进行了展望,例如添加程序处理原语,让神经网络不仅能捕捉特征,还能操控结构。同时,作为 Keras 开发者,作者对架构、抽象都有深刻理解,在介绍概念和细节的同时,会解释它在系统中的作用、设计思路和数学原理。从使用者、研究者和框架开发者三个角度进行阐述,完整的回答了“怎么用”、“为什么可以用”和“这么用的意义”的问题。2022-11-22
  • yl
    a friendly book2022-02-13

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